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Implementing Progress Monitoring

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Title: Implementing Progress Monitoring


1
Implementing Progress Monitoring
  • Pennsylvania's Statewide Approach

2
Session Goal
  • Provide an overview of Pennsylvanias statewide
    progress monitoring initiative including
  • The Approach
  • Background and Getting Started The Pilot
  • The Design
  • General Outcomes and Specific Skills
  • The Training Plan
  • Outcomes
  • Challenges and Lessons Learned

3
PA Who We Are!
  • Pennsylvania Department of Education
  • Bureau of Special Education
  • State Implementation Grant (SIG) Recipient
  • PATTAN
  • East, Central and West
  • Intermediate Units
  • School Districts

4
Monitoring Student Progress A Quick
Detour Assessing Prior Knowledge
5
What is Progress Monitoring?
  • Progress Monitoring is the ongoing process which
    involves
  • Collecting and analyzing data to determine
    student progress toward specific skills or
    general outcomes.
  • Making instructional decisions based on the
    review and analysis of student data.

6
Progress Monitoring Cycle
  • Initial Assessment
  • Direct Intervention
  • Historical Data
  • Standardized Assessments
  • Diagnostic Assessment
  • Curriculum-Based Assessment
  • Parent Input
  • Design Instruction
  • Develop Goals Objectives
  • Identify SDI
  • Alignment to General Curriculum
  • Instructional Grouping Scheduling
  • Identify Progress Monitoring
  • Ongoing Evaluation
  • Evaluate Effectiveness of Instruction by
    Monitoring Progress
  • Record and Use Data to Assess Progress Make
    Decisions
  • Adjust Goals Objectives
  • Adjust SDI Instruction As Needed
  • Report to Parents
  • Deliver Instruction
  • Deliver Instruction According to Goals
    Objectives Using SDI
  • Collect Data on Progress
  • Monitor Student Response Feedback

7
The Goals of Progress Monitoring
  • Provide data to assist in making decisions about
    students
  • To guide instructional decisions
  • Provide data on student performance
  • To determine current level of learning/behavior/pe
    rformance
  • To measure and report progress toward goals
  • Provide data for the reevaluation process
  • To determine if the student still meets
    eligibility for special education AND still needs
    specially-designed instruction

8
Benefits of Progress Monitoring
  • Parents and students know what is expected
  • Teachers have organized record of students
    performance
  • Teachers know what is working or not working with
    their instruction based on data
  • Easy to Understand way to show parents the
    progress
  • IEP teams have comprehensive data on student
    performance for decision making

9
Essential Elements of Progress Monitoring
  • Measurable goals/outcomes
  • Sensitive to increments of student growth
  • Data driven
  • Efficient and effective for use in the classroom
  • Usable format
  • Connected with general ed. curriculum/appropriate
    activities

10
Progress Monitoring in Pennsylvania
  • A SIG Initiative

11
A Two-Prong Approach
General Outcomes
Specific Skills
  • Appropriate for all students, including learning
    support and at-risk students, working in the
    general education curriculum (reading and math)
  • The goals and objectives are based in the general
    education curriculum
  • Appropriate for all students with IEPs,
    particularly those with significant disabilities
  • The goals and objectives are referenced to the
    general education curriculum

12
Assessment (A balance between outcomes-based
measurement and specific skills assessments)
Specific Skills
Outcomes-based
Representative
Efficient
13
They are simple, accurate, and reasonably
inexpensive in terms of time and materials.
They are considered so important to doing
business well that they are routine. They are
collected on an ongoing and frequent basis.
They shape/inform a variety of important
decisions.
14
Models of CBAGeneral Outcome Measurement
  • Standardized, Reliable, Valid
  • Index growth in general curriculum over time and
    across a wide range of skills
  • May or may not be measuring directly the
    curriculum of instruction
  • Do suggest when instructional modifications are
    needed
  • Do not specifically suggest instructional
    modification

15
PAs Seven Step Process to Progress Monitoring
Monitoring General Outcomes and Specific Skills
1. Measurable Annual Goals and Objectives
2. Data Collection Decisions
3. Data Collection Tools Schedule
4. Representing the Data
5. Evaluation of Data
6. Instructional Adjustments
7. Communicating Progress
16
History of PM in Pennsylvania
  • The Pilots
  • Original mini-pilot in spring, 2002
  • Statewide pilot, 2002 -2003
  • Level I Statewide Training and Implementation in
    2003 -2004
  • Level II Statewide Training and Data Collection
    in 2004 2005
  • Two year follow-Up of original 14 districts in
    statewide pilot in spring 2005
  • Special Projects
  • Reading Fluency (Hagar)
  • Algebra (Foegan)
  • Writing (Edwards-Santoro)
  • Specific Skills (Shapiro)

17
Statewide Pilot 2002-2003
  • Lessons from the Field

18
Purpose of Pilot
  • Conduct a training project on the use of an
    outcomes based measurement approach to monitor
    student progress in reading and math
  • Discuss the use of data-based decision-making
  • How can the analysis of student data improve
    educational results?
  • How can the analysis of student data suggest
    changes in instructional grouping, instructional
    strategies, motivation systems, etc.?

19
Participants and Target Areas
  • 14 school districts and 71 teachers
  • Special education teachers assigned to learning
    support or emotional support, grades 1 through 5
  • Site coordinators in each district facilitated
    the implementation of the project
  • PaTTAN consultants
  • University consultants
  • Each teacher monitored at least two students in
    oral reading fluency and math skills
  • Selected measures were quick and easy to
    administer

20
Materials for Monitoring
  • Reading
  • All teachers used the passages created and
    developed by the AIMSweb product
  • Passages were written and developed with
    readability specifically for the various grade
    levels
  • Students were assessed at levels indicated by
    teachers as providing reasonable challenge given
    current instructional level
  • Math
  • All teachers used the Monitoring Basic Skills
    Progress (MBSP), basic math computation and
    application blackline masters
  • Students were assessed at levels indicated by
    teachers as providing reasonable challenge given
    current instructional level

21
Frequency of Monitoring
  • Reading Monitored 2xweek, with at least one day
    between assessments
  • Math Monitored 1xweek, with computation
    monitored one week and applications the next

22
Training and Support
  • We taught teachers to
  • Collect data
  • Graph data
  • Display aim line or goal line
  • Display trend line or inspect visually
  • Use decision rules to inform instruction
  • Training was provided via
  • Large and small groups at regional PaTTAN
    facilities
  • On-site visits and individual feedback meetings
  • Whole group final follow-up session

23
PM Implementation
  • Teachers implemented progress monitoring Nov.
    through May
  • Teachers graphed both reading and math data
  • School district site coordinators facilitated
    communication between participating teachers and
    PaTTAN consultants
  • PaTTAN consultants served as facilitators between
    site coordinators and University consultants

24
Statewide Pilot Outcomes
  • PM was feasible for most teachers
  • Teachers learned to collect and analyze data
  • Some instructional arrangements presented PM
    challenges (full inclusion models)
  • Additional training was needed on using data for
    instructional decision making
  • Teachers found innovative ways to use the data
    (feedback to parents, IEP incorporation)

25
Results of Pilot
  • All skills showed changes in desired direction
    during the course of the pilot
  • Substantial improvements in many skills
  • Confidence in the data increased in all areas
  • Strongest teacher confidence in oral reading
    fluency and computation data
  • Perceived importance of progress monitoring
    stronger after the pilot

26
Table 1.Summary of Teacher Self-Reported
Prior to Project As of March 2003
OVERALL- Previous Experience w/Progress Monitoring 2.90 4.06
OVERALL Confidence in Using Data 3.41 4.07
Reading 3.19 3.92
Math Computation 3.39 4.01
Math Concepts 3.08 3.62
OVERALL- Importance of Progress Monitoring 3.88 4.73
27
Lessons Learned
  • Data collection was deemed doable by teachers
  • Kids enjoyed participating
  • More kids wanted to be involved
  • More Professional Development needed for teachers
    and OTHERS
  • Consider structural aspects of special education
  • Instruction in inclusive settings
  • Time allocated for reading/math instruction
  • Juggling groups

28
Challenges
  • Some computer problems
  • Hand graphing
  • Difficulty extending aimline
  • Need to indicate interventions
  • Time How to fit in progress monitoring?
  • Better use of instructional assistants
  • Students do own graphing

29
Its not an issue of losing time because
progress monitoring helps make my instructional
time more effective. Monitoring student progress
optimizes my teaching because it makes it
better. Pilot Project Teacher
Most Frequently Asked Question How LONG does
progress monitoring take?
30
Level I 2003-04
  • Statewide Training and Implementation

31
Project Decisions
  • Mirrored Pilot Parameters
  • Data Collection Decisions Targets
  • Oral Reading Fluency - 2wcpm/wk
  • Math Computation and Concepts/Application - 1
    dcpm/wk.
  • Data Tools and Schedules
  • 2x/wk reading, 1x/wk math.
  • Data Representation
  • Graphed via hand or electronic tool
  • Decision Rule - 4 of 6 data points

32
Roles and Responsibilities
  • Teachers
  • Site coordinators
  • IU CSPD consultants
  • PaTTAN consultants
  • University consultants

33
Teachers
  • Attend all scheduled trainings
  • Participate in on-site team visitations led by IU
    CSPD and PaTTAN consultants
  • Implement progress monitoring by
  • Administering appropriate data collection tools
  • Collecting, graphing and analyzing data
  • Making instructional adjustments as appropriate
  • Communicating progress

34
Teachers Data Collection Expectations
  • Choose at least 2 special education students
  • Using the IEP, select an approach to monitor
    these students progress toward general outcomes
    or specific skills

35
Teachers Data Collection Expectations
  • Establish a baseline for each student based on
    the present levels of educational progress or
    baseline assessments on the skill
  • Based on a students expected rate of progress,
    establish an aim line (goal) for each student

36
Teachers Data Collection Expectations
  • Collect data on an ongoing basis according to the
    schedule you have established for progress
    monitoring
  • Each teacher should have collected a MINIMUM of 6
    data points on each student prior to the Day 3
    training in Oct/Nov 2003
  • Create a folder for each student whose progress
    you will be monitoring

37
Teacher Expectations
  • Set annual goals and objectives
  • Determine baseline
  • Determine target
  • Map aimline
  • Monitor frequently using decision rule
  • Implement and monitor instructional change when
    decision rule is broached

38
5th grader, baseline 60wcpm in 2nd grade text,
goal 100wcpm in 3rd grade text
39
Site Coordinators
  • Attend pre-training and all subsequent trainings
    with the district team
  • Participate in on-site visits led by PaTTAN and
    IU CSPD consultants
  • Act as a liaison between the district and team
    and PaTTAN/IU consultants

40
Site Coordinators
  • Support team in implementing progress monitoring
  • Facilitate professional development efforts in
    progress monitoring with other special education
    teachers in the district
  • Meet with other administrators in to move
    progress monitoring forward in the district

41
IU CSPD/PaTTAN Consultants
  • Attend all series trainings
  • Lead on-site visitations with district teams
  • Provide on-going on-site technical assistance and
    support as needed by district teams
  • Review district team action plans
  • Review data collected by districts

42
University Consultants
  • Provide direction related to formal training
    content
  • Provide technical assistance and support related
    to on-site visits
  • Develop Frequently Asked Questions/Answers
  • Develop a process for collecting student data

43
Level I PM Training
  • Training Focus
  • Progress Monitoring in Special Education
  • Focus Areas
  • Key Principles of Progress Monitoring
  • District Action Planning
  • On-Site Visits
  • Progress Monitoring Updates to Staff

44
PM Outcomes 2003 -2004
  • 2,690 special education students
  • Approximately 300 districts, 29 IUs trained
  • LD 1745 SED 271 MR 244
  • 1967 GOM 211 SS 166 Behavior 346
    undetermined
  • 1395 reading 489 math computation
  • 50.8 weekly collection 31.8 2x/week
  • FOR LD 728 Reading, 230 Math

45
QuestionsReading and Math Computation
  • Average rate of gain across instructional grade
    levels?
  • Average rate of gain across DIFFERENCES between
    enrolled and instructional grade levels?

46
Comparison of PA PM to Fuchs Study in
Reading-Instructional Level
Grade Fuchs Study All Students LD
1 n/a .90 .85
2 1.5 1.04 1.10
3 1.0 1.08 1.06
4 0.85 1.29 1.19
5 0.5 .93 .91
6 0.3 1.24 1.22
47
Comparison of PA PM to Fuchs Study in Math
Computation-Instructional Level
Grade Fuchs Study All Students LD
1 n/a .17 .18
2 0.3 .40 .56
3 0.3 .32 .35
4 0.70 .52 .56
5 0.70 .21 .25
6 0.45 .47 .58
48
Grade Minus Instructional Level - Reading
49
Grade Minus Instructional Level - Math
50
Conclusions 2003-2004
  1. PM, especially GOM, reflect gains in student
    performance in reading and math computation
  2. Teachers were able to conduct PM on student for
    entire year
  3. PM should be widely adopted as method to reflect
    basic performance in reading and math
  • Established realistic goals for students with LD
  • Data collected 3 points in time can be used to
    reflect year long outcomes

51
2003-2004 Lessons Learned
  1. Establish the data collection process at the
    start of the training year
  2. Keep the data collection form simple
  3. Focus data collection on GOM progress monitoring
    only
  4. Enhance quality of training

52
Lessons Learned and Adjustments Made (cont.)
  • Frequency of collection can be reduced to weekly
    IF decision rules are also adjusted.
  • Teachers assessing fluency often do not view it
    as an outcome but as a skill.
  • Teachers are reluctant to increase instructional
    level when a student is doing well.
  • Savvy administrators use progress monitoring data
    to inform supervisory and programmatic decisions.

53
Level II 2004-2005
  • Statewide PM Training and Implementation

54
Training Focus
  • Using Data to Drive Instructional Interventions
  • Content Area Intervention
  • Reading
  • Math
  • Behavior
  • Low-Incidence Disabilities

55
Reading Moving Beyond the Data
  • Intervention s in Reading content Areas
  • Language Development
  • Fluency
  • Vocabulary
  • Comprehension
  • Onsite guided practice

56
Math Training
  • Math Progress Monitoring in Math
  • Additional training in math content areas
  • Math Fluency
  • Calculation
  • Problem Solving
  • Onsite Guided Practice

57
Behavior Training
  • Antecedent and Consequence Strategies that
    Promote Individual and Group Behavior Change
  • Making Data-Based Decisions Analyzing the
    Efficacy of Interventions
  • Prevention of Behavior Problems via Effective
    Classroom Management and Instruction

58
Low Incidence Disability Populations
  • Effective instruction and research-based
    interventions for school-age students and early
    learners
  • Onsite Guided Practice

59
Comparison of PA PM to Fuchs Study in
Reading-Instructional Level
Grade Fuchs Study Reg Ed All SpED Students 2004 2005 LD 2004 2005 All SpED Students 2003 2004 LD 2003 2004
1 2.0 1.07 1.15 1.02 .85
2 1.5 1.18 1.18 1.40 1.10
3 1.0 1.08 1.09 .88 1.06
4 0.85 1.19 1.23 1.08 1.19
5 0.5 1.07 1.07 1.06 .91
6 0.3 1.17 1.27 1.07 1.22
60
Comparison of PA PM to Fuchs Study in
Computation-Instructional Level
Grade Fuchs Study Reg Ed PDE Benchmarks All SpED Students 2004 -2005 LD 2004 2005 All SpEd Students 2003-2004 LD 2003 - 2004
1 n/a .3 .29 .27 .17 .18
2 0.3 .3 .31 .32 .40 .56
3 0.3 .3 .35 .33 .32 .35
4 0.70 .45 .26 .27 .52 .56
5 0.70 .45 .19 .20 .21 .25
6 0.45 .19 .22 .47 .58
61
Two Year Follow-up on Statewide Pilot
  • 2005-2006

62
Pilot Follow-up
  • 13 of 14 original pilot districts visited
  • Personal interviews with
  • Administrators
  • Teachers (original)
  • Teachers (newly trained.
  • Review of student data
  • Original students
  • Present students

63
Status of PM in Pilot Districts
  • 5 of the 13 are using progress monitoring as
    designed
  • 2 maintained it in modified form
  • 2 districts report use by a few teachers
  • 4 districts have no concerted progress monitoring
    program.

64
Lessons Learned
  • Successful Implementation of Progress Monitoring
    Requires
  • Administrative mandate-This is the way we do
    business here.
  • Administrative Support-However, we will provide
    all the training, support, time, and materials
    required for success.
  • Time-Teachers require two years to realize the
    benefits and efficiency of progress monitoring

65
Pilot District Ongoing Needs
  • Additional training in the use of progress
    monitoring to guide instruction.
  • Training in the use of progress monitoring in
    full-inclusion schools.
  • Additional training in general outcome vs.
    specific skill monitoring. (Teachers continue to
    view ORF as a skill measure not a reading health
    measure.)

66
Progress Monitoring Efforts 2004- 2005
  • Intermediate Units

67
Progress Monitoring Expansion, 12/05
  • 29 of 29 Intermediate Units Responded to a
    progress monitoring survey.
  • These IUs serve 501 LEAs
  • 433 of PAs 501 LEAs (86) have received Level I
    Progress Monitoring Training.

68
PM Expansion
  • 201 of the 433 (46) trained LEAs provided
    turn-around training.
  • 377 progress monitoring events were provided thus
    far in the 05-06 school year.
  • 162 events are planned for the remainder of the
    year.

69
Training Format
70
Implementation
71
Special PM Projects in PA
  • Reading Fluency
  • Automated progress monitoring system to allow
    students to record reading passages for automatic
    scoring
  • Algebra
  • Research effort to measure effectiveness of
    algebra probes
  • Writing
  • Research effort to generate information on the
    connection of various pm formats and writing
    instruction
  • Specific Skills
  • Analysis of data and use of data in PAs Schools
    for the Blind to better define pm with low
    incidence populations

72
Final Comments
  • Confidence in PM as a valuable tool for
    monitoring student progress in special education
  • Evidence of accountability Administrative
    commitment is vital
  • Evidence of growth for students in special ed (LD
    in particular)
  • Replication and strengthening of research
    findings over years
  • Direct implications of research-to-practice

73
Quotable Quotes
  • I had no idea how many instructional decisions I
    make every day, I need a nap.
  • We want to participate in your data gathering
    effort. Progress monitoring has been very
    valuable to all our staff.
  • It saves so much time. My IEPs are done!
  • I know who is doing what and how well.
    (administrator on his staff)
  • Students love charting their progress and
    beating their scores!
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